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of 493
pro vyhledávání: '"MARKOVIC, Dejan"'
While rendering and animation of photorealistic 3D human body models have matured and reached an impressive quality over the past years, modeling the spatial audio associated with such full body models has been largely ignored so far. In this work, w
Externí odkaz:
http://arxiv.org/abs/2407.13083
Although recent mainstream waveform-domain end-to-end (E2E) neural audio codecs achieve impressive coded audio quality with a very low bitrate, the quality gap between the coded and natural audio is still significant. A generative adversarial network
Externí odkaz:
http://arxiv.org/abs/2401.12160
Autor:
Xu, Xudong, Markovic, Dejan, Sandakly, Jacob, Keebler, Todd, Krenn, Steven, Richard, Alexander
While 3D human body modeling has received much attention in computer vision, modeling the acoustic equivalent, i.e. modeling 3D spatial audio produced by body motion and speech, has fallen short in the community. To close this gap, we present a model
Externí odkaz:
http://arxiv.org/abs/2311.06285
A good audio codec for live applications such as telecommunication is characterized by three key properties: (1) compression, i.e.\ the bitrate that is required to transmit the signal should be as low as possible; (2) latency, i.e.\ encoding and deco
Externí odkaz:
http://arxiv.org/abs/2305.16608
This article presents a method for estimating and reconstructing the spatial energy distribution pattern of natural speech, which is crucial for achieving realistic vocal presence in virtual communication settings. The method comprises two stages. Fi
Externí odkaz:
http://arxiv.org/abs/2209.04473
In this work, we present an end-to-end binaural speech synthesis system that combines a low-bitrate audio codec with a powerful binaural decoder that is capable of accurate speech binauralization while faithfully reconstructing environmental factors
Externí odkaz:
http://arxiv.org/abs/2207.03697
We present a single-stage casual waveform-to-waveform multichannel model that can separate moving sound sources based on their broad spatial locations in a dynamic acoustic scene. We divide the scene into two spatial regions containing, respectively,
Externí odkaz:
http://arxiv.org/abs/2206.15423
Autor:
Nemoda, Milica, Veljković, Filip, Nikolić, Biljana, Brkić, Snežana, Marković, Dejan, Momčilović, Miloš, Lal, Mohan, Živković, Lada, Marinković, Jelena
Publikováno v:
In Industrial Crops & Products 15 December 2024 222 Part 3
Since facial actions such as lip movements contain significant information about speech content, it is not surprising that audio-visual speech enhancement methods are more accurate than their audio-only counterparts. Yet, state-of-the-art approaches
Externí odkaz:
http://arxiv.org/abs/2203.17263
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